Job Check

Sustainability Specialists

US evidence · AI already used for 0 of 10 main tasks · Check another job

Address organizational sustainability issues, such as waste stream management, green building practices, and green procurement plans.

10 main tasks · most important first

Four studies, side by side

None is a forecast of job loss

19%of this job’s work time goes to tasks that people already do with Claude at work, counting tasks where AI only helps as half (2026).Anthropic, 2026

61%of this job’s tasks an AI model could do in half the time, counting tasks that need extra tools as half (rated in 2023).Eloundou, Manning, Mishkin and Rock, 2023

Above 73% of jobsin how often and how well AI helped with this job’s work in Microsoft Copilot chats (2024 data).Microsoft Research (Tomlinson et al.), 2025

Checked O*NET 31.0, August 2026Corrections

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It never gives a “chance of losing your job”. AI touching a task is not the same as losing a job.

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Where these numbers come from

O*NET 31.0 Database, US Department of Labor, Employment and Training Administration (USDOL/ETA), 2026-08. Licence: CC BY 4.0.

Anthropic Economic Index: labor market impacts (observed exposure), Anthropic, 2026-03-05. Licence: CC BY.

Working with AI: Measuring the Applicability of Generative AI to Occupations (v1.1), Microsoft Research (Tomlinson et al.), 2025-12. Licence: CC BY 4.0.

GPTs are GPTs: labor market impact potential of LLMs (Science, 2024), Eloundou, Manning, Mishkin and Rock, 2023. Licence: MIT.

What work can robots do? (robot exposure index), Anthropic, 2026-09-30. Licence: CC BY 4.0.

This page includes information from the O*NET® 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. We have modified this information; USDOL/ETA has not approved, endorsed or tested these modifications. O*NET® is a trademark of USDOL/ETA. How the Job Check works.

Corrections

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Sustainability Specialists

Your main tasks and AI

Four studies, side by side

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